https://github.com/russhughes/ttgo-hershey-fonts

MicroPython Hershey font demo for the TTGO-LCD board
https://github.com/russhughes/ttgo-hershey-fonts

esp32 hershey-fonts hershey-text micropython python ttgo vector-graphics

Last synced: 2 months ago
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MicroPython Hershey font demo for the TTGO-LCD board

• Host: GitHub
• URL: https://github.com/russhughes/ttgo-hershey-fonts
• Owner: russhughes
• License: mit
• Created: 2020-01-07T05:47:58.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-02-25T07:24:11.000Z (over 3 years ago)
• Last Synced: 2024-01-28T08:09:58.046Z (5 months ago)
• Topics: esp32, hershey-fonts, hershey-text, micropython, python, ttgo, vector-graphics
• Language: Python
• Size: 963 KB
• Stars: 26
• Watchers: 5
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

Lists

• awesome-micropython - ttgo-hershey-fonts - MicroPython Hershey font demo for the TTGO-LCD board. (Libraries / Display)

README

        
ttgo-lcd-demo

=============

MicroPython Hershey fonts demo for the TTGO-LCD using the st7789py_mpy driver

from https://github.com/devbis/st7789py_mpy

|

.. figure:: images/ttgo-hershey-fonts.jpg

   :align: center

|

I pulled this from the oledui module I wrote for my `TurtlePlotBot

`_ it's not fast but it works

and should be easy to modify to run on most any board and display.

File Based Fonts

================

There are trade-offs between speed and memory use between the two font methods.

The file based fonts use less memory but a slower then the memory fonts.

Demo Installation

-----------------

Copy fhello.py to the MicroPython device then create a /fonts directory

and copy all the fnt files from the repos /fonts directory into it.  I use

`mpfshell `_ to copy files.

import fhello to run.

Memory Based Fonts

==================

I used the same method Peter Hinch uses in his `GitHub Repo

`_ to store the Hershey

vector data in a python bytearray. The memory fonts use more memory since the

font is loaded into memory for use but they are faster the the file based

fonts.  Memory use can be reduced by Freezing the bytecode in the firmware.

I'm planning on writing a 'C' version that should be even faster.

Demo Installation

-----------------

Copy pyhello.py to the MicroPython device the create a /pyfonts directory then

copy all the py files in the repos /pyfonts directory to it. I use `mpfshell

`_ to copy files.

import pyhello to run.

Speed comparison

----------------

`Video speed comparison `_ of

Memory and File based methods using devbis `Fast pure-C driver for MicroPython

`_ repo.